As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
A decentralized cloud security framework uses attribute-based encryption to enable fine-grained access control without centralized vulnerabilities. By combining cryptographic policy enforcement, third ...
Aiomics announces the integration of a Hybrid GraphRAG engine into its clinical platform. By anchoring artificial ...
Keyrus, a global consulting firm specializing in data strategy, artificial intelligence and digital transformation with nearly three decades ...
Knowledge Graph, Large Language Model, BERT, Knowledge Management, Small and Medium-Sized Enterprises, Accounting, Supply Chain Management Zheng, Y. (2026) Knowledge Graph Application in KM for ...
Explore the 2026 AI trends in India, including the transition from experimental AI to scalable applications, the evolving ...
Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology that transforms how machines understand relationships and reasoning.
In order to enhance the personalization and intelligence of English teaching in colleges and universities, a teaching assistance system based on knowledge graph is designed and implemented. The system ...
What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...
Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. John "Hannibal" Smith (George Peppard) loved it when a plan ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results